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for scientific computing to support users in the process of solving increasingly complex compute- and data-intensive problems in science and engineering on high-end parallel and distributed computing platforms
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University Assistent position in the research group Bioinformatics and Computational Biology headed by Ivo Hofacker. Our team works on the development of algorithms and methods for problems in Computational
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by Ass. Prof. Dr. Julio Backhoff and Univ. Prof. Dipl.-Ing. Dr. Beiglböck. The main research areas of the group include stochastic processes, mathematical finance, and probabilistic transport theory
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for Judaic Studies with a focus on source and cultural history. You are in the process of developing an independent research profile. Your current research includes the preparation of a second monograph
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future tasks: Active participation in research, teaching & administration, which means: Support the operation and maintenance of the Physical Properties Measurement System (PPMS) at the Faculty of Physics
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completed doctorate in the field of Austrian history of the late Middle Ages or early modern period. Ability to explain fundamental political, social and economic processes of change. Relevant academic
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in molecular and neural networks (with a focus on GABA) that are functionally relevant in daily and monthly timing and their evolution Nice to have: Very good ability to present and process research
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the area of natural language processing using deep learning methods. The focus of our research is in the area of natural language processing with deep learning methods, especially large language models
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the area of natural language processing using deep learning methods. The focus of our research is in the area of natural language processing with deep learning methods, especially large language models
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methods from the fields of differential equations and/or stochastic processes, as well as computational approaches and/or statistical methods of data analysis. You can find more information about our